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Everything you need to know about the NVIDIA Ampere A100, PCIe, 300W, 80GB Passive, Double Wide, Full Height GPU

Technical Details

  • Interface: PCIe

  • Power Consumption: 300W

  • Memory: 80GB HBM2e

  • Cooling Design: Passive

  • Form Factor: Double Wide, Full Height

  • Architecture: NVIDIA Ampere

  • Memory Capacity: Doubled from previous versions to 80GB

  • Compatibility: PCIe for broad server and workstation use, no NVLink required

  • Energy Efficiency: High performance per watt for data center energy savings

  • Server Environment: Designed for high-density, passive cooling through server airflow

  • Compute Cores: 6912 CUDA cores, 432 Tensor cores

  • Compute Performance: Accelerates a wide range of tasks much faster than CPUs

  • MIG Technology: Supports partitioning into up to seven independent GPUs for flexible, cost-effective use

Applications and Implementations

The A100 excels in various domains:

  • AI and Deep Learning: Accelerates training and inference, turning days of model training into hours. This speedup facilitates rapid prototyping and testing, improve the pace of AI advancements.

  • High-Performance Computing (HPC): Powers through data-intensive tasks like climate simulations and genomic sequencing, enabling faster discoveries and innovations.

  • Data Analytics: Its significant memory and processing capabilities allow real-time insights from large datasets, aiding more informed decision-making processes.

  • Graphics Rendering: Benefits graphics-heavy tasks such as 3D rendering and VR, shortening rendering times and improving development workflows.

Practical Tips for Implementations

  • Assess Compatibility: Verify that your infrastructure can support the A100's specifications to ensure seamless integration.

  • Leverage NVIDIA's Software Ecosystem: Utilize NVIDIA's tools like CUDA, cuDNN, and TensorRT to fully harness the A100's capabilities, simplifying application development and optimization.

  • Plan for Scalability: Use the A100's MIG feature for efficient resource allocation, ideal for environments with varying workload demands.

  • Stay Eco-Conscious: While deploying the A100, aim for workload and infrastructure optimizations that advance sustainability efforts, capitalizing on its energy efficiency.

As our NVIDIA GPU inventory keeps growing, you can benefit from our prices, which are way below standard market rates. If you're interested, please get in touch for an offer at

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